Data Engineer | 2+ Years of Experience | Data Analytics

I'm passionate Cloud Data Engineer with 2+ years of experience in designing, building, and optimizing scalable batch and real-time data pipelines using Python, SQL, AWS Glue, PySpark, Amazon S3, Redshift and Kafka.

Core skills:

• Programming & Analytics: Python, SQL, Pandas, NumPy, Matplotlib, Java
• Data Engineering Concepts: ETL / ELT Pipelines, Data Modeling (Star Schema), Medallion Architecture (Bronze, Silver, Gold)
• Big Data & Streaming: PySpark, Apache Spark, Apache Kafka
• AWS Cloud Services: EC2, Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, AWS Lambda, Amazon Kinesis, AWS CloudWatch
• Orchestration & Tools: Kafka, Apache Airflow, Git, GitHub, Jira, VS Code

I have developed and implemented the ETL/ELT jobs over the large datasets with proper data modeling and data warehousing following medallion architecture. Proven ability to process large-scale structured and semi-structured data, optimize SQL queries, and improve pipeline performance by up to 30%. Strong understanding of data quality, monitoring, and orchestration concepts, with experience supporting analytics and BI use cases.

I’m currently looking Data Engineering roles where I can contribute to impactful projects and help drive technical innovation. I'm especially interested in companies focused on scalable architecture, AI-driven applications, and cloud-based solutions.